{"id":"W2783952997","doi":"10.1111/ehr.12655","title":"The amelioration of British West Indian slavery: anthropometric evidence","year":2018,"lang":"en","type":"article","venue":"The Economic History Review","topic":"Colonialism, slavery, and trade","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poorhouse; Anthropometry; Welfare; Quarter (Canadian coin); Estate; Demography; Population; History; Standard of living; Geography; Genealogy; Demographic economics; Socioeconomics; Economic history; Sociology; Ethnology; Political science; Law; Economics; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002153165,0.00007231939,0.0002249095,0.00004145934,0.0005831333,0.00003078413,0.0005515113,0.00004156795,0.001051216],"category_scores_gemma":[0.0003622024,0.00005957261,0.000105922,0.0002275121,0.001540672,0.0002159272,0.00003297771,0.00008833715,0.0006951396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001021804,"about_ca_system_score_gemma":0.0007198334,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0190266,"about_ca_topic_score_gemma":0.06838358,"domain_scores_codex":[0.9987981,0.0003831793,0.0003317811,0.0001653334,0.000128844,0.0001928082],"domain_scores_gemma":[0.9988652,0.0003724737,0.0003045908,0.000345585,0.00005692699,0.00005524127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002087851,0.00005601041,0.001203674,0.000510028,0.00007815526,0.000005994678,0.03452319,0.000001014791,0.00001389343,0.006032378,0.5358493,0.4217055],"study_design_scores_gemma":[0.00004358172,0.00005158431,0.00181681,0.0005490488,0.00003927194,0.000003395118,0.000237092,0.00000344195,0.000003405532,0.0001817569,0.9969903,0.00008037726],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1212802,0.8428689,0.000008706964,0.009645561,0.004351851,0.001076305,0.00001571085,0.00005763984,0.02069514],"genre_scores_gemma":[0.6494784,0.3479553,0.000006507797,0.0004031422,0.0004841546,0.00001904298,7.704056e-7,0.00000687583,0.001645795],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.5281982,"threshold_uncertainty_score":0.999862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06232429197740146,"score_gpt":0.3259585332966879,"score_spread":0.2636342413192864,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}